System Software Engineer - GPU

Posted 2 Days Ago
Be an Early Applicant
Santa Clara, CA
Senior level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a System Software Engineer, you will develop applications for GPU and high-performance computing servers, create software tools for chip development, and validate new hardware features. The role emphasizes strong C++ skills and understanding system software and architecture.
Summary Generated by Built In

We are seeking a System Software Engineer to work on next-generation computing and graphics products. Our charter is to build the most stressful set of applications a GPU or high performance computing server would see in its life cycle. The best candidates will have strong C++ programming skills, thorough knowledge of graphics concepts and algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture. Excellent interpersonal skills and a dedication to meticulous engineering practices are a requirement. As a system software engineer, you will extensively use your knowledge of operating systems, algorithms, and computer architecture to provide robust and efficient solutions to validate and test next generation processors.

What you'll be doing:

  • Working closely with architecture, hardware and driver teams through the product development life cycle of computing and graphics processors, as well as compute products.
  • Responsible for crafting software tools and infrastructure required for new chip development, validation, and productization.
  • You will assess new hardware features and architect manufacturing diagnostic tests using pre-beta CUDA and Vulkan extensions.
  • Explore ways to use high level compute & graphics programming APIs to stress specific units and flows at a GPU and system level.
  • This job will require an understanding of our hardware and software architectures.


What we need to see:

  • BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science (or equivalent experience)
  • 5+ years proven experience in a related hardware/software position
  • Strong C/C++ programming skills
  • Understanding of PC architecture, and ability to work close to the hardware
  • Background with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband, Ethernet is a plus
  • Previous experience of working on a large system software code base is preferable
  • Very strong problem solving and debugging skills
  • Ability to self-manage, show leadership, and have good interpersonal skills

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

C++
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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